WO2015023275A1 - Transmit antenna selection - Google Patents

Transmit antenna selection Download PDF

Info

Publication number
WO2015023275A1
WO2015023275A1 PCT/US2013/055016 US2013055016W WO2015023275A1 WO 2015023275 A1 WO2015023275 A1 WO 2015023275A1 US 2013055016 W US2013055016 W US 2013055016W WO 2015023275 A1 WO2015023275 A1 WO 2015023275A1
Authority
WO
WIPO (PCT)
Prior art keywords
antennas
channel
wireless communications
data streams
client device
Prior art date
Application number
PCT/US2013/055016
Other languages
French (fr)
Inventor
Jung Gun Lee
Souvik SEN
Raul Etkin
Original Assignee
Hewlett-Packard Development Company, L.P.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hewlett-Packard Development Company, L.P. filed Critical Hewlett-Packard Development Company, L.P.
Priority to CN201380080201.0A priority Critical patent/CN105637773A/en
Priority to EP13891515.2A priority patent/EP3033841A1/en
Priority to PCT/US2013/055016 priority patent/WO2015023275A1/en
Priority to US14/912,070 priority patent/US9768924B2/en
Publication of WO2015023275A1 publication Critical patent/WO2015023275A1/en

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621Feedback content
    • H04B7/0626Channel coefficients, e.g. channel state information [CSI]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00Arrangements affording multiple use of the transmission path
    • H04L5/0001Arrangements for dividing the transmission path
    • H04L5/0003Two-dimensional division
    • H04L5/0005Time-frequency
    • H04L5/0007Time-frequency the frequencies being orthogonal, e.g. OFDM(A), DMT
    • H04L5/001Time-frequency the frequencies being orthogonal, e.g. OFDM(A), DMT the frequencies being arranged in component carriers
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413MIMO systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0686Hybrid systems, i.e. switching and simultaneous transmission
    • H04B7/0691Hybrid systems, i.e. switching and simultaneous transmission using subgroups of transmit antennas
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00Arrangements affording multiple use of the transmission path
    • H04L5/003Arrangements for allocating sub-channels of the transmission path
    • H04L5/0058Allocation criteria
    • H04L5/006Quality of the received signal, e.g. BER, SNR, water filling

Definitions

  • MIMO multiple antennas are used to improve wireless performance by increasing transmission throughputs and link reliability.
  • MIMO increases network capacity without increasing network bandwidth.
  • MIMO may be combined with orthogonal frequency division multiplexing (OFDM) to provide an efficient way to combat the frequency selective fading of wireless channels by dividing the total bandwidth into many narrowband subcarriers.
  • OFDM orthogonal frequency division multiplexing
  • FIG. 1 is a block diagram of a wireless communications device including an antenna selection module for selecting transmit antennas, according to one example
  • FIG. 2 is a flowchart of a method for selecting transmit antennas at a wireless communications device, according to one example
  • FIG. 3 is a flowchart of a method for selecting transmit antennas at a wireless communications device, according to one example:
  • FIG. 4 is a block diagram of a wireless communications device including a computer- readable -medium having instructions for selecting transmit antennas.
  • Transmit diversity is the use of multiple transmit antennas to improve the performance and reliability of a communication network, by reducing the effects of multipath fading. Because each transmit-antenna to receiver-antenna path may suffer from deep channel fading, using multiple antennas may reduce the effects of multipath fading by increasing the chances of receiving strong signals at the receiver that have not suffered from fading.
  • MIMO systems can substantially improve wireless link performance by increasing the reliability when implementing spatial diversity schemes (i.e., use of multiple antennas, usually with the same characteristics, that are physically separated from one another) or by increasing the data rate when implementing spatial multiplexing scheme (i.e., transmitting independent and separately encoded data streams from multiple antennas).
  • FCC Federal Communications Commission
  • the FCC regulation aims to overcome the increase in energy radiated in a given direction due to beamforming or correlation gains by reducing the allowed maximum transmission power by a factor of:
  • N !x is the number of antennas used for a transmission
  • N is the number of data streams to transmit.
  • IEEE institute of electrical and electronics engineers
  • NA NAs the number of spatial time streams that are produced by spatial multiplexing and spatial time block coding (STBC).
  • the number of antennas selected for transmitting data streams cannot be smaller than the number of data streams (i.e., N a must always be equal to or greater than N 5 ).
  • N lt ⁇ N s the maximum power reduction according to the
  • FCC regulation of Equation (i) becomes zero, meaning that there is no power reduction.
  • one way of overcoming the FCC reduction in transmit power is to limit the number of antennas used in a transmission (i.e., N a ) to ⁇ ', .
  • N a the number of antennas used in a transmission
  • the power reduction also reduces, thereby enabling or permitting the transmitter to use more power.
  • using fewer transmit antennas reduces the transmit diversity (i.e., the chances of overcoming the effects of fading).
  • a solution may be to use a number of transmit antennas, N a equal to the number of data streams N, to be transmitted
  • 802.1 In/ac standards include a channel sounding protocol for a transmitter (e.g., an access point) to learn the CSI for the downlink channel to each client device, so that the access point can perform beamforming (i.e., directional signal transmission or reception), multi-user MIMO (e.g., in an IEEE 802.1 lac standard), and/or transmit antenna selection by using the CSI information.
  • channel sounding is optional and not all access points and client devices may support this feature.
  • channel sounding it incurs a large overhead and may drastically degrade the throughput.
  • CSI is known to be stable over 100ms duration in typical indoor environment when both the transmitter and receiver nodes are stationary. This duration is known as channel coherence time, " I ' c, and it decreases down to 10ms at walking speed.
  • I ' c channel coherence time
  • One method for the transmitter to infer CSI to the receiver without explicit channel sounding is to leverage channel reciprocity.
  • channel reciprocity for a given link between the transmitter and the receiver, the CSI of the link (i.e., H) from node A to node B is reciprocal to the B-to-A link (i.e., H').
  • H' the B-to-A link
  • node A can use this information to infer H for the A-to-B link channel, which is needed for node A to select the optimal set of transmit antennas.
  • node A needs a full H of N ai!i (A ) x N mt (B).
  • the reverse link transmission from node B may user a preceding matrix O for transmission, thus leading node A to learn H'Q instead ⁇ ', making it difficult for node A to recover the complete CSI, H.
  • an antenna selection technique that is usable when there is either a complete CSI or incomplete CSI (e.g., inferred CSI).
  • examples described herein address the above challenges by providing a technique for selecting an optimal set of transmit antennas for each OFDM subcarrier while considering FCC power constraints and practical limitations in obtaining accurate channel state information (CSI) for every transmission.
  • the optimization solution presented may be defined as maximizing a given utility function, F, described in detail below.
  • communications device includes selecting a set of antennas from a plurality of antennas for transmitting data streams on a plurality of subcarriers based on channel state information (CSI) of a communications channel between the plurality of antennas and a plurality of receiv e antennas at a client device, a number of the data streams to be transmitted, and a channel coherence time of the communications channel, where a size of the set is equal to or greater than the number of data streams.
  • CSI channel state information
  • a wireless communications device includes a plurality of antennas to transmit a number of data streams to a client device, and an antenna selection module.
  • the antenna selection module is to select a set of antennas from the plurality of antennas based on channel state information (CSI) of a communications channel between the plurality of antennas and a plurality of receive antennas at the client device, the number of data streams to be transmitted, and channel coherence time of the communications channel, where a size of the set is greater than or equal to the number of data streams, and where the size of the set is subject to a transmit power constraint.
  • CSI channel state information
  • a no -transitory computer-readable storage medium includes instructions that, when executed by a processor of a wireless communications device, causes the processor to select a set of antennas from a plurality of antennas to transmit a plurality of data streams to a client device based on channel state information (CSI) of a communications channel between the plurality of antennas and a plurality of receive antennas at the client device, a number of data streams to be transmitted, and a channel coherence time of the communications channel.
  • CSI channel state information
  • a size of the set is greater than or equal to the number of data streams to be transmitted, and the size of the set is subject to a transmit power requirement of the wireless communications device.
  • data stream or “data streams” is a sequence of digitally encoded coherent signals (e.g., packets of data or data packets) used to transmit or receive information that is in the process of being transmitted.
  • a wireless communications device is any wireless communications node that includes one or more antennas for transmitting and receiving data packets and/or signals.
  • the wireless communications device may include a base station, a wireless access point, a router, an ad- hoc device, a station, or any other node.
  • a “subcarrier” is a separate analog or digital signal carried on a main radio transmission, which carries extra mformation such as voice or data.
  • a suhcarrier represents an already-modulated signal, which is then modulated into another sign al of higher frequency and bandwidth.
  • channel state information refers to known (or inferred) channel properties of a communication link. CSI describes ho a signal propagates from a transmitter to a receiver and represents the combined effect of, for example, scattering, fading, and power decay with distance.
  • channel coherence time is the time duration over which the channel impulse response is considered to be not varying. A communication channel may change with time and the channel coherence time captures the change of the channel over time.
  • OFDM orthogonal frequency-division multiplexing
  • optimal set/number of transmit antennas is a set/number of antennas selected from a plurality of available antennas at the transmitter for transmitting data streams based on a maximization solution of a function that includes a speci fied set of parameters.
  • FIG. 1 is a block diagram of a wireless communications device 102 that includes an antenna selection module 122 for selecting transmit antennas, according to one example,
  • Wireless communications device 102 may be, for example, a wireless access point, a base station, an ad-hoc device, or any other communications node that serves and provides a plurality of client devices such as client device 142 with access to a network (e.g., cellular network, wireless local area network, ad-hoc network, etc.).
  • client device 142 may be, for example, a cellular device, a laptop, a smartphone, a desktop PC, a personal digital assistant (PDA), an access point, another wireless communications device, or any other
  • Client device 142 may be fixed, mobile, or portable.
  • Wireless communications device 102 includes a transceiver 1 12 and an antenna selection module 122.
  • Transceiver 1 12 includes a plurality of antennas 132 for
  • transceiver 1 12 includes antennas 132 for transmitting data streams to the client device 142 and for receiving data streams from the client device 142.
  • Antenna selection module 122 may be hardware and/or software configured to select a set of antennas from the plurality of antennas 132 for transmitting data streams on a plurality of subcarriers (e.g., OFDM subcarriers) based on channel state information (CSI) (complete or incomplete) between the device 102 and the client device 142, the number of data streams to be transmitted, and a channel coherence time between the device 102 and the client device 142.
  • Antenna selection module 122 may be coupled to the transceiver i 12. Accordingly, antenna selection module 122 is configured to select an optimal set of antennas for each OFDM subcarrier while considering FCC power regulations and other
  • the optimal antenna selection performed by the antenna selection module 122 can be defined as maximizing a given utility function, F, described in further detail below.
  • a utility function, F is defined for selecting a set of transmit antennas for a given transmission depending on the channel state information (CSI) available at the transmitter.
  • CSI channel state information
  • Knowledge about the CSI, and information about the variability of the CSI over time and frequency are exploited to select an appropriate set of transmit antennas based on the constraint on the transmit power imposed by FCC regulations.
  • the utility function F(H,N s ,T c ,S tt ) is used to compute a performance metric for an expected throughput or 1 -BER (Bit Error Rate), as a function of currently available CSI (H), the number of data streams to be transmitted (N s ), the channel coherence time (T e ), a set of selected transmit antennas (S ) to be used for transmission.
  • S t * is a subset ofS , the set of entire antennas available at the transmitter.
  • N fe — j3 ⁇ 4 and N ant - S an i where ⁇ S tx ⁇ is a size of the selected set of antennas, and ⁇ S anl is the size of the available plurality of antennas.
  • H is a full CSI of N an ⁇ x N rx _ anh the optimization equation can be written as:
  • the function F can be solved using optimization solvers/techniques such as integer linear or non-linear algorithms and/or programming tools. The linearity or non- linearity of the problem will be determined by how the function F is defined. [0025] Various illustrations of optimal antenna selection using the function F are explained below, as examples.
  • function F is maximized when both antennas at the transmitter are selected for transmission of one data stream.
  • jhl j is the signal-to-noise-ratio (SNR) of channel response h i while
  • antenna selection module 122 may select only one transmit antenna (e.g., TX antenna 1).
  • the antenna selection function F favors transmission modes with more diversity gain, thus selecting both transmit antennas.
  • more aggressive transmission strategies that use more power and fewer transmr antennas may be beneficial.
  • the antennas selection module 122 can find the optimal set of transmit antennas for each subcarrier such that the function F is maximized.
  • >3 ⁇ 4 is determined based on the channel coherence time T c between the device 102 and the client device 142. For example, for shorter channel coherence time T c> a larger number of transmit antennas
  • the right set of transmit antennas from the available antennas may be selected based on the CSI factor, H for each subcarrier, while adhering to the number of transmit antennas of the first step, such that the function F is maximized.
  • the antenna selection module 122 can optimally determine the global number of transmit antennas ⁇ S lx ⁇ to be used for all subcarriers, and the set of antennas S lx for each subcarrier without using any further heuristics.
  • the optimal set of transmit antennas can be selected using the above steps, where the right number of antennas is first determined based on the channel coherence time T c , and the right set of antennas S ix is selected based on antennas having the largest SNR gains. Accordingly, in a scenario where there is complete CSI or in another scenario where there is incomplete CSI, an optimal set of transmit antennas may be selected based on a solution of the function F described above, where the function inciudes a number of parameters including the channel coherence time T c . For example, when the channel coherence time is low, the function F may favor using more transmit antennas. However, when the channel coherence time T c is high, the function may favor using less transmit antennas.
  • FIG. 2 is a flowchart of a method for selecting transmit antennas at a wireless communications device, according to one example.
  • Method 200 may be implemented, for example, in the form of executable instructions stored on a non-transitory computer-readable storage medium and/or in the form of electronic circuitry.
  • Method 200 includes selecting a set of antennas from a plurality of antennas for transmitting data streams on a plurality of subcarriers based on channel state information (CS1) of a communications channel between the plurality of antennas and a plurality of receive antennas at a client device, a number of data streams to be transmitted, and a channel coherence time of the communications channel, where a size of the set is equal to or greater than the number of data streams, at 210.
  • CS1 channel state information
  • the antenna selection module 122 may select an optimal set of antennas from a plurality of available transmit antennas using an optimization solution of a function, where the arguments of the function include the CSI, the number of data streams to be transmitted, the channel coherence time, and the set of antennas, and where the control parameter is the set of antennas.
  • a size of the set of antennas selected is subject to transmit power requirements, and the size of the set of antennas selected is equal to or greater than the number of data streams.
  • the optimization solution is applicable where there is complete or incomplete/partial CSI.
  • the antenna selection module 122. may select the optimal set of antennas where there is a full CSI matrix determined by the use of channel sounding protocols, or where there is a partial or incomplete CSI inferred from preceding matrix.
  • FIG. 3 is a flowchart of a method for selecting transmit antennas at a wireless communications device, according to one example.
  • Method 300 may be implemented, for example, in the form of executable instructions stored on a non-transitory computer-readable storage medium and/or in the form of electronic circuitry.
  • Method 300 includes determining an optimal number of antennas for transmitting across OFDM subcarriers based on the channel coherence time, at 310.
  • the antenna selection module 122 may need to select the same size of set of antennas across ail the OFDM subcarriers (i.e., a same number of antennas in the selected set), due to regulations.
  • the size of the set may be adjusted based on the channel coherence time, where the size of the set is larger for shorter channel coherence time, and vice versa.
  • Method 300 also includes selecting the set of antennas for each subcarrier based on a signal-to-noise ratio (SNR) of each antenna from the plurality of antennas, where the size of the selected set is equal to the optimal number determined, and where antennas having highest SNR gain are first selected until the optimal number is reached.
  • the antenna selection module 122 may select the set of antennas based on SNR gains of the antennas. The antennas are selected for each OFDM subcarrier until the global optimal number is achieved for each OFDM subcarrier.
  • antenna selection instructions 414 are executable to select a set of antennas from a plurality of antennas to transmit a plurality of data streams to a client device based on channel state information (CSI) of a communications channel between the plurality of antennas and a plurality of receive antennas at the client device, a number of data streams to be transmitted, and a channel coherence time of the communications channel.
  • CSI channel state information
  • a size of the set is greater than or equal to the number of data streams to be transmitted and the size of the set is subject to a transmit power requirement of the communication device.

Landscapes

  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Quality & Reliability (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

A set of antennas is selected from a plurality of antennas for transmitting data streams on a plurality of subcarriers based on channel state information of a communications channel between the plurality of antennas and a plurality of receive antennas at a client device, a number of the data streams to be transmitted, and a channel coherence time of the communications channel. A size of the set is equal to or greater than the number of data streams.

Description

TRANSMIT ANTENNA SELECTION
BACKGROUND
fOOOl j In multiple-input-multiple-output (MIMO) systems multiple antennas are used to improve wireless performance by increasing transmission throughputs and link reliability. MIMO increases network capacity without increasing network bandwidth. MIMO may be combined with orthogonal frequency division multiplexing (OFDM) to provide an efficient way to combat the frequency selective fading of wireless channels by dividing the total bandwidth into many narrowband subcarriers.
BRIEF DESCRIPTION OF THE DRAWINGS
[00Θ2] The present application may be more fully appreciated in connection with the following detailed description taken in conjunction with the accompanying drawings, in which like reference characters refer to like parts throughout, and in which:
[0003] FIG. 1 is a block diagram of a wireless communications device including an antenna selection module for selecting transmit antennas, according to one example;
[0004] FIG. 2 is a flowchart of a method for selecting transmit antennas at a wireless communications device, according to one example;
[0005] FIG. 3 is a flowchart of a method for selecting transmit antennas at a wireless communications device, according to one example: and
[0006] FIG. 4 is a block diagram of a wireless communications device including a computer- readable -medium having instructions for selecting transmit antennas.
DETAILED DESCRIPTION
[0007] Transmit diversity is the use of multiple transmit antennas to improve the performance and reliability of a communication network, by reducing the effects of multipath fading. Because each transmit-antenna to receiver-antenna path may suffer from deep channel fading, using multiple antennas may reduce the effects of multipath fading by increasing the chances of receiving strong signals at the receiver that have not suffered from fading. Thus, MIMO systems can substantially improve wireless link performance by increasing the reliability when implementing spatial diversity schemes (i.e., use of multiple antennas, usually with the same characteristics, that are physically separated from one another) or by increasing the data rate when implementing spatial multiplexing scheme (i.e., transmitting independent and separately encoded data streams from multiple antennas).
[0008] However, under certain conditions, multi-antenna transmissions are subject to a transmit power reduction by governmental regulatory bodies in many countries. For example, in the United States, the Federal Communications Commission (FCC) subjects multi-transmissions to a transmit power constraint that depends on the number of data streams transmitted. The FCC regulation aims to overcome the increase in energy radiated in a given direction due to beamforming or correlation gains by reducing the allowed maximum transmission power by a factor of:
Equation (1)
Figure imgf000004_0001
[0009] where N!x is the number of antennas used for a transmission, and N, is the number of data streams to transmit. In case of an institute of electrical and electronics engineers (IEEE) 802.1 ln/ac MIMO system, NAs the number of spatial time streams that are produced by spatial multiplexing and spatial time block coding (STBC).
[0010| Accordingly, for MIMO systems, the number of antennas selected for transmitting data streams cannot be smaller than the number of data streams (i.e., Namust always be equal to or greater than N5 ). When Nlt ~Ns , the maximum power reduction according to the
FCC regulation of Equation (i) becomes zero, meaning that there is no power reduction. Thus, one way of overcoming the FCC reduction in transmit power is to limit the number of antennas used in a transmission (i.e., Na ) to Λ', . As Na is reduced, the power reduction also reduces, thereby enabling or permitting the transmitter to use more power. However, using fewer transmit antennas reduces the transmit diversity (i.e., the chances of overcoming the effects of fading). Based on the FCC constraint of Equation (1), a solution may be to use a number of transmit antennas, Na equal to the number of data streams N, to be transmitted
(i.e., Na N, and 1 Olog (AT /JNS) ------ 0) to achieve a lowest power reduction. In this solution, it is important to select the optimal or right set of transmit antennas N^ out of a total antennas N„Hl available at the transmitter. [0011] However, selecting the optimal/right set of antennas is not trivial. For example, to select an optimal set of transmit antennas, a full CSI matrix of size Nant x Na an/ is needed, where Nrx an, is the number of antennas at the receiver (e.g., a client device). IEEE
802.1 In/ac standards include a channel sounding protocol for a transmitter (e.g., an access point) to learn the CSI for the downlink channel to each client device, so that the access point can perform beamforming (i.e., directional signal transmission or reception), multi-user MIMO (e.g., in an IEEE 802.1 lac standard), and/or transmit antenna selection by using the CSI information. However, channel sounding is optional and not all access points and client devices may support this feature. Moreover, where channel sounding is implemented, it incurs a large overhead and may drastically degrade the throughput. To illustrate, CSI is known to be stable over 100ms duration in typical indoor environment when both the transmitter and receiver nodes are stationary. This duration is known as channel coherence time, "I'c, and it decreases down to 10ms at walking speed. Thus, performing channel sounding every 10ms incurs unnecessary overhead. Further, it may be difficult to have accurate CSI information before every transmission,
[0012] One method for the transmitter to infer CSI to the receiver without explicit channel sounding is to leverage channel reciprocity. In channel reciprocity, for a given link between the transmitter and the receiver, the CSI of the link (i.e., H) from node A to node B is reciprocal to the B-to-A link (i.e., H'). If node A can obtain the reverse link CSI, H', from a packet transmitted from node B, node A can use this information to infer H for the A-to-B link channel, which is needed for node A to select the optimal set of transmit antennas. Thus, node A needs a full H of Nai!i (A ) x Nmt (B). Flowever, the reverse link transmission from node B may user a preceding matrix O for transmission, thus leading node A to learn H'Q instead οΐΗ', making it difficult for node A to recover the complete CSI, H. Thus, it may be desirable for an antenna selection technique that is usable when there is either a complete CSI or incomplete CSI (e.g., inferred CSI).
[0013] Accordingly, examples described herein address the above challenges by providing a technique for selecting an optimal set of transmit antennas for each OFDM subcarrier while considering FCC power constraints and practical limitations in obtaining accurate channel state information (CSI) for every transmission. The optimization solution presented may be defined as maximizing a given utility function, F, described in detail below. [0014] In one example, a method for selecting transmit antennas at a wireless
communications device includes selecting a set of antennas from a plurality of antennas for transmitting data streams on a plurality of subcarriers based on channel state information (CSI) of a communications channel between the plurality of antennas and a plurality of receiv e antennas at a client device, a number of the data streams to be transmitted, and a channel coherence time of the communications channel, where a size of the set is equal to or greater than the number of data streams.
[0015] In another example, a wireless communications device includes a plurality of antennas to transmit a number of data streams to a client device, and an antenna selection module. The antenna selection module is to select a set of antennas from the plurality of antennas based on channel state information (CSI) of a communications channel between the plurality of antennas and a plurality of receive antennas at the client device, the number of data streams to be transmitted, and channel coherence time of the communications channel, where a size of the set is greater than or equal to the number of data streams, and where the size of the set is subject to a transmit power constraint.
[0016] In another example, a no -transitory computer-readable storage medium includes instructions that, when executed by a processor of a wireless communications device, causes the processor to select a set of antennas from a plurality of antennas to transmit a plurality of data streams to a client device based on channel state information (CSI) of a communications channel between the plurality of antennas and a plurality of receive antennas at the client device, a number of data streams to be transmitted, and a channel coherence time of the communications channel. A size of the set is greater than or equal to the number of data streams to be transmitted, and the size of the set is subject to a transmit power requirement of the wireless communications device.
[0017] As used herein, "data stream" or "data streams" is a sequence of digitally encoded coherent signals (e.g., packets of data or data packets) used to transmit or receive information that is in the process of being transmitted. As used herein a "wireless communications device" is any wireless communications node that includes one or more antennas for transmitting and receiving data packets and/or signals. For example, the wireless communications device may include a base station, a wireless access point, a router, an ad- hoc device, a station, or any other node. As used herein a "subcarrier" is a separate analog or digital signal carried on a main radio transmission, which carries extra mformation such as voice or data. A suhcarrier represents an already-modulated signal, which is then modulated into another sign al of higher frequency and bandwidth. As used herein "channel state information (CSI)" refers to known (or inferred) channel properties of a communication link. CSI describes ho a signal propagates from a transmitter to a receiver and represents the combined effect of, for example, scattering, fading, and power decay with distance. As used herein "channel coherence time" is the time duration over which the channel impulse response is considered to be not varying. A communication channel may change with time and the channel coherence time captures the change of the channel over time. As used herein "orthogonal frequency-division multiplexing (OFDM) is a method of encoding digital data on multiple carrier frequencies. As used herein "optimal set/number of transmit antennas" is a set/number of antennas selected from a plurality of available antennas at the transmitter for transmitting data streams based on a maximization solution of a function that includes a speci fied set of parameters.
[0018] With reference to the figures, FIG. 1 is a block diagram of a wireless communications device 102 that includes an antenna selection module 122 for selecting transmit antennas, according to one example,
[0019] Wireless communications device 102 may be, for example, a wireless access point, a base station, an ad-hoc device, or any other communications node that serves and provides a plurality of client devices such as client device 142 with access to a network (e.g., cellular network, wireless local area network, ad-hoc network, etc.). Client device 142 may be, for example, a cellular device, a laptop, a smartphone, a desktop PC, a personal digital assistant (PDA), an access point, another wireless communications device, or any other
communication node that depends on wireless communications device 102 for network access. Client device 142 may be fixed, mobile, or portable.
[0020] Wireless communications device 102 includes a transceiver 1 12 and an antenna selection module 122. Transceiver 1 12 includes a plurality of antennas 132 for
communicating with client device 142. For example, transceiver 1 12 includes antennas 132 for transmitting data streams to the client device 142 and for receiving data streams from the client device 142. [0021] Antenna selection module 122 may be hardware and/or software configured to select a set of antennas from the plurality of antennas 132 for transmitting data streams on a plurality of subcarriers (e.g., OFDM subcarriers) based on channel state information (CSI) (complete or incomplete) between the device 102 and the client device 142, the number of data streams to be transmitted, and a channel coherence time between the device 102 and the client device 142. Antenna selection module 122 may be coupled to the transceiver i 12. Accordingly, antenna selection module 122 is configured to select an optimal set of antennas for each OFDM subcarrier while considering FCC power regulations and other
factors/constraints, in one example, the optimal antenna selection performed by the antenna selection module 122 can be defined as maximizing a given utility function, F, described in further detail below.
[0022] In this example, a utility function, F, is defined for selecting a set of transmit antennas for a given transmission depending on the channel state information (CSI) available at the transmitter. Knowledge about the CSI, and information about the variability of the CSI over time and frequency are exploited to select an appropriate set of transmit antennas based on the constraint on the transmit power imposed by FCC regulations.
[0023] The utility function F(H,Ns,Tc,Stt)is used to compute a performance metric for an expected throughput or 1 -BER (Bit Error Rate), as a function of currently available CSI (H), the number of data streams to be transmitted (Ns), the channel coherence time (Te), a set of selected transmit antennas (S ) to be used for transmission. St* is a subset ofS , the set of entire antennas available at the transmitter. Thus, Nfe— j¾ and Nant - Sani, where \Stx\ is a size of the selected set of antennas, and \Sanl is the size of the available plurality of antennas. Assuming that H is a full CSI of Nan< x Nrx_anh the optimization equation can be written as:
[0024J maximize (H, NS, 71, where the control parameter is S!x and the constraint is \Sa
>= Ns. The antenna selection module 122 performs the above optimization per OFDM subcarrier. Accordingly, in certain examples, a different set of antennas _¾». may be selected for each OFDM subcarrier. Further, the FCC regulation is taken into account, to achieve a maximum transmit power reduction (i.e., \Stx\ >= Ns), when computing F. When His a complete CSI, the function F can be solved using optimization solvers/techniques such as integer linear or non-linear algorithms and/or programming tools. The linearity or non- linearity of the problem will be determined by how the function F is defined. [0025] Various illustrations of optimal antenna selection using the function F are explained below, as examples. In one example, consider a 2x1 muitiple-input-singlc-output (MISO) system, where Nant = 2 and Nrx ant =1, with per-subcarrier channel responses hi and h2: H = [hi h2] \ Assume further that the number of data streams, N« ::: 1. If jhl » |h2|, antenna selection module 122 may select both transmit antennas at the device 102 (i.e., Nix = 2) for transmission, knowing that the 3 (IB (i.e., approximate value of \0\og(N Ns) or 101og(2/l )) loss in transmit power due to the FCC power constraint can be compensated for by beamfonning gain. Thus, function F is maximized when Stx === {TX antenna 1 , TX antenna 2} . Put differently, function F is maximized when both antennas at the transmitter are selected for transmission of one data stream, in this example, it should be noted that jhl j is the signal-to-noise-ratio (SNR) of channel response h i while |5aj;i| is the size of the set Smt.
16] On the other hand, if ! Ill » h2 , antenna selection module 122 may select only one transmit antenna (e.g., TX antenna 1). Thus, function F is maximized when S!x = {TX antenna 1} . in cases where the channel has a small channel coherence time Tc, the antenna selection function F favors transmission modes with more diversity gain, thus selecting both transmit antennas. In cases of slowly fading channels and where accurate channel estimates are available, more aggressive transmission strategies that use more power and fewer transmr antennas may be beneficial. Thus, where complete CS1 information, H, is available, the antennas selection module 122 can find the optimal set of transmit antennas for each subcarrier such that the function F is maximized.
7] It should be noted that the above examples allow for different number of transmit antennas to be selected for each subcarrier. However, in some examples, it may be necessary to use the same number of transmit antennas across all OFDM subcarriers (i.e., Nix = \S!x\), for example due to regulations. In such examples, a homogeneous constraint |_¾ is added for all subcarriers. It should be noted that although different set of transmit antennas may be used for different subcarriers, in this example, the number of antennas (i.e., the size of the selected set) used for each subcarrier is the same across ail the subcarriers. To select a different set of antenna for each subcarrier, while maintaining the same number of antennas across the subcarriers, the antenna selection module 122 may first select the right number of antennas to use. Thus, the antenna selection module 122 can determine \Six\ from the range of integers [Ns, Nam], where Nant = \Sant\. Next, the antenna selection module 122 may select the right set (i.e., optimal) of transmit antennas from the available antennas for each OFDM subcarrier, that is equal to the number (or size) of transmit antennas determined above.
[0028J The number of transmit antennas |>¾ is determined based on the channel coherence time Tc between the device 102 and the client device 142. For example, for shorter channel coherence time Tc> a larger number of transmit antennas |¾ may be selected to improve diversity gain against the fluctuating channel state while paying more transmit power penalty due to the regulation of Equation (1). The right set of transmit antennas from the available antennas may be selected based on the CSI factor, H for each subcarrier, while adhering to the number of transmit antennas of the first step, such that the function F is maximized. For example, transmit antennas with the largest SNR gains jh ij may be selected, where l is the antenna inde (i.e., i = 1 , 2, ... ,Ναηί). When the complete CSI H is available, the antenna selection module 122 can optimally determine the global number of transmit antennas \Slx\ to be used for all subcarriers, and the set of antennas Slx for each subcarrier without using any further heuristics.
[0029J In examples where there is incomplete CSI information H (e.g., where CSI is inferred from preceding matrix Q), the optimal set of transmit antennas can be selected using the above steps, where the right number of antennas
Figure imgf000010_0001
is first determined based on the channel coherence time Tc, and the right set of antennas Six is selected based on antennas having the largest SNR gains. Accordingly, in a scenario where there is complete CSI or in another scenario where there is incomplete CSI, an optimal set of transmit antennas may be selected based on a solution of the function F described above, where the function inciudes a number of parameters including the channel coherence time Tc. For example, when the channel coherence time is low, the function F may favor using more transmit antennas. However, when the channel coherence time Tc is high, the function may favor using less transmit antennas.
[0030] FIG. 2 is a flowchart of a method for selecting transmit antennas at a wireless communications device, according to one example. Method 200 may be implemented, for example, in the form of executable instructions stored on a non-transitory computer-readable storage medium and/or in the form of electronic circuitry.
[0031] Method 200 includes selecting a set of antennas from a plurality of antennas for transmitting data streams on a plurality of subcarriers based on channel state information (CS1) of a communications channel between the plurality of antennas and a plurality of receive antennas at a client device, a number of data streams to be transmitted, and a channel coherence time of the communications channel, where a size of the set is equal to or greater than the number of data streams, at 210. For example, the antenna selection module 122 may select an optimal set of antennas from a plurality of available transmit antennas using an optimization solution of a function, where the arguments of the function include the CSI, the number of data streams to be transmitted, the channel coherence time, and the set of antennas, and where the control parameter is the set of antennas. A size of the set of antennas selected is subject to transmit power requirements, and the size of the set of antennas selected is equal to or greater than the number of data streams. Further, the optimization solution is applicable where there is complete or incomplete/partial CSI. For example, the antenna selection module 122. may select the optimal set of antennas where there is a full CSI matrix determined by the use of channel sounding protocols, or where there is a partial or incomplete CSI inferred from preceding matrix.
[0032] FIG. 3 is a flowchart of a method for selecting transmit antennas at a wireless communications device, according to one example. Method 300 may be implemented, for example, in the form of executable instructions stored on a non-transitory computer-readable storage medium and/or in the form of electronic circuitry.
[0033] Method 300 includes determining an optimal number of antennas for transmitting across OFDM subcarriers based on the channel coherence time, at 310. For example, the antenna selection module 122 may need to select the same size of set of antennas across ail the OFDM subcarriers (i.e., a same number of antennas in the selected set), due to regulations. In this example, the size of the set may be adjusted based on the channel coherence time, where the size of the set is larger for shorter channel coherence time, and vice versa.
[0034] Method 300 also includes selecting the set of antennas for each subcarrier based on a signal-to-noise ratio (SNR) of each antenna from the plurality of antennas, where the size of the selected set is equal to the optimal number determined, and where antennas having highest SNR gain are first selected until the optimal number is reached. For example, the antenna selection module 122 may select the set of antennas based on SNR gains of the antennas. The antennas are selected for each OFDM subcarrier until the global optimal number is achieved for each OFDM subcarrier.
[0035J FIG. 4 is a block diagram of a wireless communications device 402 including computer-readable medium having instructions for selecting transmit antennas, according to one example. The device 402 can include a non-transitory computer-readable medium 406. The non- transitory computer-readable medium 406 can include instructions 416 that if executed by a processor 404 can cause the processor to select a set of antennas for transmitting data streams.
[0036] For example, antenna selection instructions 414 are executable to select a set of antennas from a plurality of antennas to transmit a plurality of data streams to a client device based on channel state information (CSI) of a communications channel between the plurality of antennas and a plurality of receive antennas at the client device, a number of data streams to be transmitted, and a channel coherence time of the communications channel. A size of the set is greater than or equal to the number of data streams to be transmitted and the size of the set is subject to a transmit power requirement of the communication device.
[0037] The techniques described above may be embodied in a computer-readable medium for configuring a computing system to execute the method. The computer-readable media may include, for example and without limitation, any number of the following non-transiti ve mediums: magnetic storage media including disk and tape storage media; optical storage media such as compact disk media (e.g., CD-ROM, CD-R, etc.) and digital video disk storage media; holographic memory; nonvolatile memory storage media including semiconductor- based memory units such as FLASH memory, EEPROM, EPROM, ROM; ferromagnetic digital memories; volatile storage media including registers, buffers or caches, main memory, RAM, etc.; and the Internet, just to name a few. Other new and obvious types of computer- readable media may be used to store the software modules discussed herein. Computing systems may be found in many forms including but not limited to mainframes,
minicomputers, servers, workstations, personal computers, notepads, personal digital assistants, various wireless devices and embedded systems, just to name a few.
[0038] In the foregoing description, numerous details are set forth to provide an
understanding of the present invention. H owever, it will be understood by those skilled in the art that the present invention may be practiced without these details. While the invention has been disclosed with respect to a limited number of examples, those skilled in the art will appreciate numerous modifications and variations therefrom. It is intended that the appended claims cover such modifications and variations as fall within the true spirit and scope of the invention.

Claims

CLAIMS WHAT IS CLAIMED IS:
1. A method for selecting transmit antennas at a wireless communications device, comprising:
selecting a set of antennas from a plurality of antennas for transmitting data streams on a plurality of subcarriers based on channel state information (CSI) of a communications channel between the plurality of antennas and a plurality of receive antennas at a client device, a number of the data streams to be transmitted, and a channei coherence time of the communications channel, wherein a size of the set is equal to or greater than the number of data streams.
2. The method of claim 1 ,
wherein the size of the set is subject to transmit power requirements,
wherein the CSI includes at least one of a full CSI of the channel between the wireless communications device and the client device, and an incomplete CSI of the channei between the wireiess communications device and the client device, wherein the full CSI is determined based on a channel sounding protocol performed by at least one of the wireless communications device and the client device, and
wherein the incomplete CSI is inferred from a packet transmitted from the client device to the wireless communications device.
3. The method of claim 1, wherein selecting the set of antennas from the plurality of antennas is performed according to an optimization solution of:
maximize F{H , NS , TC , SLX ) ,
wherein H is a CSI matrix from the wireless communications device to the client device,
wherein NS is the number of data streams to be transmitted from the wireless
communications device to the client device,
wherein TC is the channel coherence time of the channel between the wireless
communications device and the client device,
wherein Si* represents the set of antennas and is a control parameter of the function F, and
wherein St* is selected such that \Stx\ >~ NS.
4. The method of claim 3, wherein the optimization is performed for each subcarrier of the plurality of subcarriers, and wherein the plurality of subcarriers are orthogonal frequency-division multiplexing (OFDM) subcarriers.
5. The method of claim 4, comprising selecting from the plurality of antennas a different number of antennas for each OFDM subcarrier.
6. The method of claim 4, comprising selecting from the plurality of antennas a same number of antennas for each OFDM subcarrier.
7. The method of claim 6, wherein selecting the same number of antennas for each OFDM subcarrier comprises:
determining an optimal number of antennas to use for transmitting across the OFDM subcarriers based on the channel coherence time; and
selecting the set of antennas based on a signal-to-noise ratio (SNR) of each antenna from the plurality of antennas, wherein the size of the selected set is equal to the optimal number determined, and wherein antennas having highest SNR gain are first selected until the optimal number is reached.
8. The method of claim 7, wherein the optimal number is in a range from the number of data streams to the number of plurality of antennas.
9. The method of claim 2, comprising applying optimization solution techniques to the optimization function to obtain the optimal set of antennas.
10. A wireless communications device comprising:
a plurality of antennas to transmit a number of data streams to a client device; and an antenna selection module to select a set of antennas from the plurality of antennas based on channel state information (CSi) of a communications channel between the plurality of antennas and a plurality of receive antennas at the client device, the number of data streams to be transmitted, and a channel coherence time of the communications channel,
wherein a size of the set is greater than or equal to the number of data streams, and wherein the size of the set is subject to a transmit power constraint.
11. The device of claim 10, wherein the wireless communications device is a communications node of a wireless network.
12. The device of claim 10, wherein the wireless communications device is a device that communicates using orthogonal frequency-division multiplexing (OFDM) techniques, and wherein the data streams are transmitted over a plurality of OFDM subcarriers.
13. The device of claim 10, wherein the antenna selection module is to select the set antennas based on a computation of an optimization solution of:
maximize F(H, NS , TC , S,X ) ,
wherein H is a CSI matrix from the wireless communications device to the client device,
wherein NS is the number of data streams to be transmitted from the wireless
communications device to the client device,
wherein TC is the channel coherence time of the channel between the wireless
communications device and the client device,
wherein Si* represents the set of antennas and is a control parameter of the function F, a d
wherein St* is selected such that \Stx\ >~ NS.
14, A non-transitory computer- readable storage medium comprising instructions that, len executed by a processor of a wireless communications device, causes the processor to: select a set of antennas from a plurality of antennas to transmit a plurality of data streams to a client device based on channel state information (CSI) of a communications channel between the plurality of antennas and a plurality of receive antennas at the client device, a number of data streams to be transmitted, and a channel coherence time of the communications channel, wherein a size of the set is greater than or equal to the number of data streams to be transmitted, and
wherein the size of the set is subject to a transmit power requirement of the wireless communications device.
15. The non-transitory computer-readable storage medium of claim 14, wherein the instructions are executable to select the set of antennas based on a solution of an optimization function of:
maximize F(H , N, , TC , S!R ) ,
wherein H is a CSI matrix from the wireless communications device to the client device,
wherein NS is the number of data streams to be transmitted from the wireless
communications device to the client device,
wherein TC is the channel coherence time of the channel between the wireless
communications device and the client device,
wherein St*, represents the set of antennas and is a control parameter of the function F, and
wherein STX is selected such that STX >= NS.
PCT/US2013/055016 2013-08-14 2013-08-14 Transmit antenna selection WO2015023275A1 (en)

Priority Applications (4)

Application Number Priority Date Filing Date Title
CN201380080201.0A CN105637773A (en) 2013-08-14 2013-08-14 Transmit antenna selection
EP13891515.2A EP3033841A1 (en) 2013-08-14 2013-08-14 Transmit antenna selection
PCT/US2013/055016 WO2015023275A1 (en) 2013-08-14 2013-08-14 Transmit antenna selection
US14/912,070 US9768924B2 (en) 2013-08-14 2013-08-14 Transmit antenna selection

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/US2013/055016 WO2015023275A1 (en) 2013-08-14 2013-08-14 Transmit antenna selection

Publications (1)

Publication Number Publication Date
WO2015023275A1 true WO2015023275A1 (en) 2015-02-19

Family

ID=52468541

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2013/055016 WO2015023275A1 (en) 2013-08-14 2013-08-14 Transmit antenna selection

Country Status (4)

Country Link
US (1) US9768924B2 (en)
EP (1) EP3033841A1 (en)
CN (1) CN105637773A (en)
WO (1) WO2015023275A1 (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106817194A (en) * 2015-12-01 2017-06-09 北京三星通信技术研究有限公司 Reference signal sending method, method of reseptance and equipment
US9942367B2 (en) 2015-10-13 2018-04-10 Samsung Electronics Co., Ltd. Electronic device and method for controlling the electronic device thereof

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9787333B2 (en) * 2013-09-13 2017-10-10 Hewlett Packard Enterprise Development Lp Subcarrier power reallocation
US10090893B2 (en) 2016-12-22 2018-10-02 Futurewei Technologies, Inc. Frequency division multiple antenna distribution
KR102045621B1 (en) * 2017-07-05 2019-11-15 원광대학교산학협력단 Method and apparatus for operating antenna subset in next generation mobile communication network
US10715233B2 (en) * 2017-08-31 2020-07-14 Qualcomm Incorporated Sounding reference signal (SRS) transmit antenna selection
US11469783B2 (en) * 2019-05-14 2022-10-11 Cypress Semiconductor Corporation Apparatus, systems, and methods for selecting a wireless device antenna for communication
FR3109781A1 (en) 2020-04-29 2021-11-05 Rio Tinto Alcan International Limited COVER WITH RESILIENT GASKET FOR ELECTROLYSIS TANK
GB2598740B (en) * 2020-09-09 2022-11-30 British Telecomm Wireless telecommunication system
JP7450227B2 (en) 2021-03-09 2024-03-15 日本電信電話株式会社 Transmission antenna selection device, transmission antenna selection method, and transmission antenna selection program
CN115051765B (en) * 2021-03-09 2023-09-01 华为技术有限公司 Method and related device for acquiring angle antenna combination quality relation table
CN114024589B (en) * 2021-11-11 2024-02-06 深圳大学 MISO communication system design method and device
CN117220735A (en) * 2022-06-02 2023-12-12 中兴通讯股份有限公司 Transmitting antenna selection method, transmitting antenna selection device, computer equipment and readable medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20080043671A (en) * 2006-11-14 2008-05-19 고려대학교 산학협력단 Communication setting apparatus and method therof
WO2009060650A1 (en) * 2007-11-09 2009-05-14 Mitsubishi Electric Corporation Method for selecting antennas in a spatial division multiple access (sdma) wireless network
US20100220675A1 (en) * 2007-02-26 2010-09-02 Jin Young Chun Method of transmitting feedback message in wireless communication system
US20120315938A1 (en) * 2011-06-08 2012-12-13 Qualcomm Incorporated Communication devices for multiple group communications
US20120320898A1 (en) * 2007-05-11 2012-12-20 Pantech Co., Ltd. Method of selecting antennas and transmitting data in multi-input multi-output wireless local area network environments

Family Cites Families (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7139324B1 (en) * 2000-06-02 2006-11-21 Nokia Networks Oy Closed loop feedback system for improved down link performance
US7542446B2 (en) * 2002-07-31 2009-06-02 Mitsubishi Electric Research Laboratories, Inc. Space time transmit diversity with subgroup rate control and subgroup antenna selection in multi-input multi-output communications systems
CN1860701B (en) * 2003-10-01 2011-08-03 美国博通公司 System and method for antenna selection
KR101084831B1 (en) * 2003-12-19 2011-11-21 텔레폰악티에볼라겟엘엠에릭슨(펍) Method and apparatus in a mimo based communication system
CN101764633B (en) * 2004-02-11 2016-08-17 Lg电子株式会社 Launch and receive the method and system of data stream
GB2411556B (en) * 2004-02-27 2006-03-29 Toshiba Res Europ Ltd Communications system, method and device
US8542763B2 (en) * 2004-04-02 2013-09-24 Rearden, Llc Systems and methods to coordinate transmissions in distributed wireless systems via user clustering
EP2320576A3 (en) 2005-09-30 2011-12-14 Mitsubishi Electric Research Laboratories Training signals for selecting antennas and beams in mimo wireless lans
US20080139153A1 (en) * 2006-12-12 2008-06-12 Hong Kong Applied Science And Technology Research Institute Co., Ltd. Antenna configuration selection using outdated channel state information
US7873710B2 (en) * 2007-02-06 2011-01-18 5O9, Inc. Contextual data communication platform
US8086242B2 (en) * 2007-03-21 2011-12-27 Broadcom Corporation Method and system for adaptive allocation of feedback resources for CQI and transmit pre-coding
US8130858B1 (en) * 2007-05-30 2012-03-06 Marvell International Ltd. Method and apparatus for implementing transmit diversity in OFDM systems
US8046029B2 (en) 2007-08-14 2011-10-25 Mitsubishi Electric Research Laboratories, Inc. Method for selecting antennas in a wireless networks
US8379751B2 (en) * 2007-09-19 2013-02-19 Agency For Science, Technology And Research Method of transmitting data to a receiver
CN101236597A (en) * 2008-01-17 2008-08-06 北京邮电大学 RFID antennae polling switching device
CN102067477B (en) * 2008-07-25 2013-06-05 上海贝尔股份有限公司 Method and device for channel characteristics test and communication in MIMO system
US8451951B2 (en) * 2008-08-15 2013-05-28 Ntt Docomo, Inc. Channel classification and rate adaptation for SU-MIMO systems
US8457240B2 (en) * 2008-08-25 2013-06-04 Daniel Lee Methods of selecting signal transmitting, receiving, and/or sensing devices with probabilistic evolutionary algorithms in information conveyance systems
US8520625B2 (en) * 2009-05-27 2013-08-27 At&T Intellctual Property I, L.P. Transmit antenna subset selection for retransmission
US8600308B2 (en) * 2009-06-17 2013-12-03 Futurewei Technologies, Inc. Channel state information feedback for coordinated multiple points transmission
US20110012798A1 (en) * 2009-07-20 2011-01-20 Telcordia Technologies, Inc. System and method for improving mimo performance of vehicular based wireless communications
GB2475307B (en) * 2009-11-13 2012-05-16 Toshiba Res Europ Ltd Wireless communications apparatus and method
JP5625573B2 (en) * 2010-07-15 2014-11-19 富士通株式会社 Wireless communication system, wireless communication apparatus, and wireless communication method
GB2482197B (en) 2010-07-23 2013-07-17 Toshiba Res Europ Ltd Method and apparatus for antenna selection in wireless communication systems
CN102546110A (en) * 2011-12-31 2012-07-04 电信科学技术研究院 Channel state information transmission method and device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20080043671A (en) * 2006-11-14 2008-05-19 고려대학교 산학협력단 Communication setting apparatus and method therof
US20100220675A1 (en) * 2007-02-26 2010-09-02 Jin Young Chun Method of transmitting feedback message in wireless communication system
US20120320898A1 (en) * 2007-05-11 2012-12-20 Pantech Co., Ltd. Method of selecting antennas and transmitting data in multi-input multi-output wireless local area network environments
WO2009060650A1 (en) * 2007-11-09 2009-05-14 Mitsubishi Electric Corporation Method for selecting antennas in a spatial division multiple access (sdma) wireless network
US20120315938A1 (en) * 2011-06-08 2012-12-13 Qualcomm Incorporated Communication devices for multiple group communications

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9942367B2 (en) 2015-10-13 2018-04-10 Samsung Electronics Co., Ltd. Electronic device and method for controlling the electronic device thereof
US10326866B2 (en) 2015-10-13 2019-06-18 Samsung Electronics Co., Ltd. Electronic device and method for controlling the electronic device thereof
CN106817194A (en) * 2015-12-01 2017-06-09 北京三星通信技术研究有限公司 Reference signal sending method, method of reseptance and equipment
CN106817194B (en) * 2015-12-01 2022-04-08 北京三星通信技术研究有限公司 Reference signal sending method, receiving method and equipment

Also Published As

Publication number Publication date
EP3033841A1 (en) 2016-06-22
CN105637773A (en) 2016-06-01
US20160191215A1 (en) 2016-06-30
US9768924B2 (en) 2017-09-19

Similar Documents

Publication Publication Date Title
US9768924B2 (en) Transmit antenna selection
CN101669298B (en) Method and device for pre-processing data to be transmitted in multi input communication system
KR101751995B1 (en) Method of minimizing feedback overhead using spatial channel covariance in a multi input and multi output (mimo) system
CN102725967B (en) For the method and apparatus of information feed back and precoding
US7978780B2 (en) Adaptive cyclic delay diversity for mobile devices
US10644773B2 (en) Feedback channel information using pre-coders in a wireless communication system
US8331481B2 (en) Method for channel state feedback by quantization of time-domain coefficients
CN102415032B (en) Code book construction method and equipment and method for precoding, equipment and system
CN103379652A (en) Method, device and system for achieving user pairing of user scheduling
WO2011147159A1 (en) Downlink pilot and channel estimation method for space division multiple access (sdma) multiple antenna transmission
CN101588223B (en) Method, device and system for acquiring multiple-input multiple-output channel information
WO2010040190A1 (en) Method and apparatus for beamforming in mimo systems
CN101174924A (en) Method and system for measuring space channel order
KR20150134520A (en) Apparatus for processing transmission/reception signal for interference alignment in a mu-mimo interference broadcasting channel and method thereof
CN115152158A (en) Method for transmitting data through physical uplink shared channel, method for transmitting data, terminal, network equipment and chip system
Yu et al. Beamforming transmission in IEEE 802.11 ac under time-varying channels
WO2012055131A1 (en) Downlink multi-user multipath beamforming method and apparatus for frequency division duplexing system
US9209876B2 (en) Adaptive transmit beamforming
CN103873125B (en) The launching technique and equipment of downstream signal in a kind of multiaerial system
Saleh et al. Capacity enhancement for the vehicular network using spatial multiplexing
EP3602813A1 (en) An apparatus and a method for data detecting using a low bit analog-to-digital converter
WO2012078666A1 (en) Signaling to protect advanced receiver performance in wireless local area networks (lans)
Nishimori et al. Performance evaluation of 8× 8 multi-user MIMO-OFDM testbed in an actual indoor environment
US9973247B2 (en) Wireless communication system
US8868124B2 (en) Frequency domain equalizer for a beamformed system

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 13891515

Country of ref document: EP

Kind code of ref document: A1

WWE Wipo information: entry into national phase

Ref document number: 14912070

Country of ref document: US

NENP Non-entry into the national phase

Ref country code: DE

REEP Request for entry into the european phase

Ref document number: 2013891515

Country of ref document: EP

WWE Wipo information: entry into national phase

Ref document number: 2013891515

Country of ref document: EP